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Implementing numerical algorithms to optimize the parameters in Kampmann-Wagner Numerical(KWN)precipitation models
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作者 Taiwu Yu adam hope Paul Mason 《npj Computational Materials》 CSCD 2024年第1期770-784,共15页
The Kampmann–Wagner Numerical(KWN)model of precipitation is a powerful tool to simulate the precipitation of the second phase considering the nucleation,growth,and coarsening.Some quantities such as interfacial energ... The Kampmann–Wagner Numerical(KWN)model of precipitation is a powerful tool to simulate the precipitation of the second phase considering the nucleation,growth,and coarsening.Some quantities such as interfacial energy and nucleation site number density are required to accomplish the simulation.Practically,those quantities are hard to measure in the experiment directly,and the derivation of those quantities through modeling can also be costly.In this work,we hereby adopt the minimization algorithm implemented in the open-source Scipy Python package to derive that important information in terms of very limited experimental data. 展开更多
关键词 QUANTITIES PRECIPITATION NUMERICAL
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